scholarly journals How Much Walking Should be Advocated for Good Health in Adolescent Girls?

2017 ◽  
Vol 14 (1) ◽  
pp. 59-66 ◽  
Author(s):  
Mhairi MacDonald ◽  
Samantha G. Fawkner ◽  
Ailsa Niven

Background:It is currently not known how much walking should be advocated for good health in adolescent girls. The aim of this study was therefore to recommend health referenced standards for step defined physical activity relating to appropriate health criterion/indicators in a group of adolescent girls.Method:Two hundred and thirty adolescent girls aged between 12 to 15 years volunteered to take part in the study. Each participant undertook measurements (BMI, waist circumference, % body fat, and blood pressure) to define health status. Activity data were collected by pedometer and used to assess daily step counts and accumulated daily activity time over 7 consecutive days.Results:Individuals classified as ‘healthy’ did not take significantly more steps·day–1 nor spend more time in moderate intensity activity than individuals classified as at health risk or with poor health profiles.Conclusion:‘Healthy’ adolescent girls do not walk significantly more in term of steps·day–1 or time spent in activity than girls classified as ‘unhealthy.’ This could suggest that adolescent girls may not walk enough to stratify health and health related outcomes and as a result the data could not be used to inform an appropriate step guideline for this population.

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Yu Jin Park ◽  
Ki Eun Seong ◽  
Seol Young Jeong ◽  
Soon Ju Kang

Most older persons would prefer “aging in my place,” that is, to remain in good health and live independently in their own home as long as possible. For assisting the independent living of older people, the ability to gather and analyze a user’s daily activity data would constitute a significant technical advance, enhancing their quality of life. However, the general approach based on centralized server has several problems such as the usage complexity, the high price of deployment and expansion, and the difficulty in identifying an individual person. To address these problems, we propose a wearable device platform for the life assistance of older persons that automatically records and analyzes their daily activity without intentional human intervention or a centralized server (i.e., cloud server). The proposed platform contains self-organizing protocols, Delay-Tolerant Messaging system, knowledge-based analysis and alerting for daily activities, and a hardware platform that provides low power consumption. We implemented a prototype smart watch, called Personal Activity Assisting and Reminding (PAAR), as a testbed for the proposed platform, and evaluated the power consumption and the service time of example scenarios.


Author(s):  
Amy Hasselkus

The need for improved communication about health-related topics is evident in statistics about the health literacy of adults living in the United States. The negative impact of poor health communication is huge, resulting in poor health outcomes, health disparities, and high health care costs. The importance of good health communication is relevant to all patient populations, including those from culturally and linguistically diverse backgrounds. Efforts are underway at all levels, from individual professionals to the federal government, to improve the information patients receive so that they can make appropriate health care decisions. This article describes these efforts and discusses how speech-language pathologists and audiologists may be impacted.


AIDS Care ◽  
2021 ◽  
pp. 1-8
Author(s):  
Orlanda Q. Goh ◽  
Eugène Kroon ◽  
Carlo Sacdalan ◽  
Phillip Chan ◽  
Trevor A. Crowell ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0256652
Author(s):  
Dini Widiarni Widodo ◽  
Robert Mars ◽  
Ronny Suwento ◽  
Widayat Alviandi ◽  
Imelda Ika Dian Oriza ◽  
...  

Objective This study aimed to investigate the functional outcomes, satisfaction, and quality of life of patients with microtia following reconstructive surgery. Methods This cross-sectional study was conducted using retrospective data of patients with microtia following reconstructive surgery using the Nagata technique. Data were obtained from the medical records of patients who underwent reconstructive surgery at the Division of Facial Plastic and Reconstructive Surgery, Department of Otorhinolaryngology, Head and Neck Surgery, Dr. Cipto Mangunkusumo Hospital between 2014 and 2018. All eligible patients were referred to participate in this study between November 2018 and March 2019. The hearing function was assessed by a professional audiologist after surgery. Patient satisfaction was evaluated by interview using a previously developed questionnaire, while quality of life was assessed using the EuroQol-5D-Young questionnaire. Results Thirty-one eligible subjects were included in the study. Pain and discomfort were the most commonly reported factors related to the quality of life following surgery. Approximately 67.7% of the patients were satisfied; 19.4% were very satisfied, and 12.9% reported acceptance of their surgical outcomes. The most common complication was infection (n = 8). Most patients did not experience any problems in their lives after microtia surgery. Conclusions The highest rate of satisfactory outcomes was observed for the lobule subunit, which was assumed to be associated with the use of the Z-plasty technique. The most common complication was infection, as environmental hygiene was the most important factor. Thus, further concern for maintaining good hygiene is necessary to improve the quality of reconstructive surgery. The level of satisfaction with microtia reconstructive surgery was adequate. Most patients had a good health-related quality of life without experiencing any problems.


2021 ◽  
Author(s):  
Yuko Morita ◽  
Taeko Sasai-Sakuma

Abstract Background: This study investigated the optimal nocturnal sleep duration required by collegiate athletes to maintain physical and mental health, compared with non-athlete students. Methods: In this cross-sectional study, a questionnaire survey was conducted to assess demographic variables, lifestyle and sleep habits, and health-related quality of life in 298 collegiate students (non-athletes, n = 158; athletes, n = 140). Physical component summary and mental component summary were assessed by using a Short-Form 8 Health survey, and participants with good physical as well as mental component summary scores were considered to have a good health-related quality of life. To confirm an association between nocturnal sleep length and good health-related quality of life, logistic regression analyses were conducted in non-athlete students and collegiate athletes separately. Subsequently, receiver operating characteristics curve analyses were performed for detection of the cut-off points for nocturnal sleep duration sufficient to maintain good health-related quality of life in both collegiate athletes and non-athlete students. Results: The average nocturnal sleep duration was 7 hours 4 minutes among collegiate athletes, and 75.7% of them had a worse physical component summary. The cut-off point for nocturnal sleep duration in collegiate athletes was 7.98 hours (area under the curve: 0.69, P = 0.013, sensitivity: 85.5%, specificity: 56.2%), which was longer than the cut-off of 6.58 hours for non-athlete students. Conclusion: Collegiate athletes required longer nocturnal sleep than non-athlete students. Nevertheless, their habitual nocturnal sleep duration was shorter compared to their optimal duration; around 80% of them faced chronic insufficient sleep. Improving sleep habits and sleep education is important in maintaining their good health-related quality of life.


2017 ◽  
Vol 14 (4) ◽  
pp. 172988141770907 ◽  
Author(s):  
Hanbo Wu ◽  
Xin Ma ◽  
Zhimeng Zhang ◽  
Haibo Wang ◽  
Yibin Li

Human daily activity recognition has been a hot spot in the field of computer vision for many decades. Despite best efforts, activity recognition in naturally uncontrolled settings remains a challenging problem. Recently, by being able to perceive depth and visual cues simultaneously, RGB-D cameras greatly boost the performance of activity recognition. However, due to some practical difficulties, the publicly available RGB-D data sets are not sufficiently large for benchmarking when considering the diversity of their activities, subjects, and background. This severely affects the applicability of complicated learning-based recognition approaches. To address the issue, this article provides a large-scale RGB-D activity data set by merging five public RGB-D data sets that differ from each other on many aspects such as length of actions, nationality of subjects, or camera angles. This data set comprises 4528 samples depicting 7 action categories (up to 46 subcategories) performed by 74 subjects. To verify the challengeness of the data set, three feature representation methods are evaluated, which are depth motion maps, spatiotemporal depth cuboid similarity feature, and curvature space scale. Results show that the merged large-scale data set is more realistic and challenging and therefore more suitable for benchmarking.


2015 ◽  
Vol 40 (11) ◽  
pp. 1193-1198 ◽  
Author(s):  
Samantha Kate McGinley ◽  
Marni J. Armstrong ◽  
Farah Khandwala ◽  
Silvano Zanuso ◽  
Ronald J. Sigal

Accelerometers are designed to measure physical activity (PA) objectively. The MyWellness Key (MWK) accelerometer has been validated primarily in younger, normal-weight populations. The aims of this study were to examine the accuracy of the MWK against directly measured lab-based exercise and free-living PA in people with type 2 diabetes, many of whom are older and overweight or obese. Thirty-five participants with type 2 diabetes completed the protocol, which included a laboratory-based session and a free-living phase. In the laboratory visit, participants completed a structured treadmill protocol wearing MWKs on each hip (all subjects) and bra cup (women only). The speed where each MWK switched from recording light- to moderate-intensity activity was determined for each MWK worn. In the free-living phase, participants wore the MWK for all waking hours for 2 weeks, and recorded exercise in PA diaries immediately after each exercise session. The mean cut-points between low (“Free”) and moderate (“Play”) intensity for the right and left waist-worn MWKs were 4.1 ± 0.5 km/h and 5.0 ± 0.9 km/h for the bra-mounted MWK; ideal cut-point would be 4.0 km/h. In the free-living phase, the Spearman correlation between PA according to PA diary and the waist-worn MWK was 0.81 (95% confidence interval (CI): 0.76, 0.85; P < 0.001), but only 0.66 (95% CI: 0.53, 0.77; P < 0.001) when on the bra. In conclusion, the waist-worn MWK measured PA volume accurately, and was acceptably accurate at discriminating between low- and moderate-intensity PA in people with type 2 diabetes. The MWK underestimated PA volume and intensity when worn on a bra.


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